Overview

Dataset statistics

Number of variables23
Number of observations4061
Missing cells5241
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory729.8 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
DM_Type is highly overall correlated with DM and 1 other fieldsHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 2 other fieldsHigh correlation
Waist is highly overall correlated with BMIHigh correlation
Fasting_Blood_Glucose_Value_SI_Units is highly overall correlated with HbA1C_Admission_ValueHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Year_DM_Diagnosed has 1871 (46.1%) missing valuesMissing
DM_Duration has 1871 (46.1%) missing valuesMissing
HbA1C_Admission_Value has 1499 (36.9%) missing valuesMissing
Year_DM_Diagnosed is highly skewed (γ1 = -26.51372278)Skewed
DM_Duration is highly skewed (γ1 = 26.52116445)Skewed
Cholesterol_Value_SI_Units is highly skewed (γ1 = 46.84629953)Skewed
Triglycerides_Value_SI_Units is highly skewed (γ1 = 23.39344807)Skewed
Gender has 1364 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.0%) zerosZeros
Cardiac_Arrest_Admission has 3974 (97.9%) zerosZeros
Non_Cardiac_Condition has 3943 (97.1%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1872 (46.1%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-14 14:36:49.678668
Analysis finished2023-03-14 14:38:43.011264
Duration1 minute and 53.33 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66412214
Minimum0
Maximum1
Zeros1364
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:43.207730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4723546
Coefficient of variation (CV)0.71124658
Kurtosis-1.5173706
Mean0.66412214
Median Absolute Deviation (MAD)0
Skewness-0.69525313
Sum2697
Variance0.22311887
MonotonicityNot monotonic
2023-03-14T14:38:43.339575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%
ValueCountFrequency (%)
0 1364
33.6%
1 2697
66.4%
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.351884
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:43.536724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.727595
Coefficient of variation (CV)0.21088977
Kurtosis-0.12256521
Mean60.351884
Median Absolute Deviation (MAD)9
Skewness0.0038224183
Sum245089
Variance161.99166
MonotonicityNot monotonic
2023-03-14T14:38:44.006783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 149
 
3.7%
72 138
 
3.4%
60 132
 
3.3%
57 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2816
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Education
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9202167
Minimum0
Maximum6
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:44.421120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4284366
Coefficient of variation (CV)0.74389343
Kurtosis-0.55103223
Mean1.9202167
Median Absolute Deviation (MAD)1
Skewness0.32913589
Sum7798
Variance2.0404311
MonotonicityNot monotonic
2023-03-14T14:38:44.793453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 249
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
6 4
 
0.1%
ValueCountFrequency (%)
0 969
23.9%
1 249
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
6 4
 
0.1%
ValueCountFrequency (%)
6 4
 
0.1%
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 249
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31667077
Minimum0
Maximum3
Zeros2923
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:45.208946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53974118
Coefficient of variation (CV)1.7044237
Kurtosis1.5830841
Mean0.31667077
Median Absolute Deviation (MAD)0
Skewness1.51927
Sum1286
Variance0.29132054
MonotonicityNot monotonic
2023-03-14T14:38:45.480865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 140
 
3.4%
1 994
 
24.5%
0 2923
72.0%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025855701
Minimum0
Maximum3
Zeros3974
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:45.919398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18981787
Coefficient of variation (CV)7.3414323
Kurtosis97.814758
Mean0.025855701
Median Absolute Deviation (MAD)0
Skewness8.9927267
Sum105
Variance0.036030825
MonotonicityNot monotonic
2023-03-14T14:38:46.534187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 10
 
0.2%
1 73
 
1.8%
0 3974
97.9%

Non_Cardiac_Condition
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030041862
Minimum0
Maximum2
Zeros3943
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:47.143281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17640002
Coefficient of variation (CV)5.8718074
Kurtosis38.051304
Mean0.030041862
Median Absolute Deviation (MAD)0
Skewness6.0384687
Sum122
Variance0.031116969
MonotonicityNot monotonic
2023-03-14T14:38:47.513620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
2 4
 
0.1%
1 114
 
2.8%
0 3943
97.1%

Hypertension
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64860872
Minimum0
Maximum2
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:48.113274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.48003608
Coefficient of variation (CV)0.74010119
Kurtosis-1.561588
Mean0.64860872
Median Absolute Deviation (MAD)0
Skewness-0.58935592
Sum2634
Variance0.23043464
MonotonicityNot monotonic
2023-03-14T14:38:48.442920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2624
64.6%
0 1432
35.3%
2 5
 
0.1%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.6%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2624
64.6%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56636296
Minimum0
Maximum2
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:48.909468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49811595
Coefficient of variation (CV)0.87949952
Kurtosis-1.8650935
Mean0.56636296
Median Absolute Deviation (MAD)0
Skewness-0.23800234
Sum2300
Variance0.2481195
MonotonicityNot monotonic
2023-03-14T14:38:49.468061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2290
56.4%
0 1766
43.5%
2 5
 
0.1%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.4%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2290
56.4%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53755233
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:49.781823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.50111287
Coefficient of variation (CV)0.93221226
Kurtosis-1.9089438
Mean0.53755233
Median Absolute Deviation (MAD)0
Skewness-0.12131033
Sum2183
Variance0.25111411
MonotonicityNot monotonic
2023-03-14T14:38:50.077657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2173
53.5%
0 1883
46.4%
2 5
 
0.1%
ValueCountFrequency (%)
0 1883
46.4%
1 2173
53.5%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2173
53.5%
0 1883
46.4%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct48
Distinct (%)2.2%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean1997.6347
Minimum9
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:50.444304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1984
Q11996
median2002
Q32007
95-th percentile2011
Maximum2022
Range2013
Interquartile range (IQR)11

Descriptive statistics

Standard deviation73.9518
Coefficient of variation (CV)0.037019681
Kurtosis709.86491
Mean1997.6347
Median Absolute Deviation (MAD)5
Skewness-26.513723
Sum4374820
Variance5468.8688
MonotonicityNot monotonic
2023-03-14T14:38:50.839338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2002 284
 
7.0%
2007 169
 
4.2%
1992 151
 
3.7%
1997 149
 
3.7%
2000 117
 
2.9%
2008 112
 
2.8%
2006 101
 
2.5%
2003 99
 
2.4%
2010 87
 
2.1%
2011 81
 
2.0%
Other values (38) 840
20.7%
(Missing) 1871
46.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
10 1
 
< 0.1%
20 1
 
< 0.1%
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
< 0.1%
1973 3
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
ValueCountFrequency (%)
2022 1
 
< 0.1%
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.0%
2010 87
2.1%
2009 76
1.9%
2008 112
2.8%
2007 169
4.2%
2006 101
2.5%
2005 70
1.7%

DM_Duration
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct46
Distinct (%)2.1%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean14.622374
Minimum-10
Maximum2004
Zeros30
Zeros (%)0.7%
Negative1
Negative (%)< 0.1%
Memory size31.9 KiB
2023-03-14T14:38:51.963613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile1
Q16
median10
Q316
95-th percentile28
Maximum2004
Range2014
Interquartile range (IQR)10

Descriptive statistics

Standard deviation73.960247
Coefficient of variation (CV)5.058019
Kurtosis710.13298
Mean14.622374
Median Absolute Deviation (MAD)5
Skewness26.521164
Sum32023
Variance5470.1182
MonotonicityNot monotonic
2023-03-14T14:38:52.745847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 340
 
8.4%
20 199
 
4.9%
15 173
 
4.3%
5 172
 
4.2%
12 115
 
2.8%
6 103
 
2.5%
7 91
 
2.2%
4 88
 
2.2%
2 88
 
2.2%
1 83
 
2.0%
Other values (36) 738
 
18.2%
(Missing) 1871
46.1%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 30
 
0.7%
1 83
2.0%
2 88
2.2%
3 78
1.9%
4 88
2.2%
5 172
4.2%
6 103
2.5%
7 91
2.2%
8 82
2.0%
ValueCountFrequency (%)
2004 1
 
< 0.1%
2003 1
 
< 0.1%
1992 1
 
< 0.1%
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0716572
Minimum0
Maximum2
Zeros1872
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:53.276779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99433714
Coefficient of variation (CV)0.92784998
Kurtosis-1.9737973
Mean1.0716572
Median Absolute Deviation (MAD)0
Skewness-0.14373466
Sum4352
Variance0.98870634
MonotonicityNot monotonic
2023-03-14T14:38:53.565491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1872
46.1%
1 26
 
0.6%
ValueCountFrequency (%)
0 1872
46.1%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1872
46.1%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3462201
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:53.853266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0130862
Coefficient of variation (CV)0.31721026
Kurtosis1.6568194
Mean6.3462201
Median Absolute Deviation (MAD)1
Skewness-1.4716572
Sum25772
Variance4.0525159
MonotonicityNot monotonic
2023-03-14T14:38:54.091621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1873
46.1%
8 896
22.1%
5 489
 
12.0%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.0%
6 34
 
0.8%
7 1873
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1873
46.1%
6 34
 
0.8%
5 489
 
12.0%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93351391
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:54.340234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68085153
Coefficient of variation (CV)0.72934267
Kurtosis1.0203607
Mean0.93351391
Median Absolute Deviation (MAD)0
Skewness0.59385122
Sum3791
Variance0.46355881
MonotonicityNot monotonic
2023-03-14T14:38:54.775105image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
4 6
 
0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

HbA1C_Admission_Value
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct384
Distinct (%)15.0%
Missing1499
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean7.5797931
Minimum0
Maximum88.4
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:55.151895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q15.9
median7
Q38.9225
95-th percentile11.9095
Maximum88.4
Range88.4
Interquartile range (IQR)3.0225

Descriptive statistics

Standard deviation2.7954479
Coefficient of variation (CV)0.36880267
Kurtosis272.19291
Mean7.5797931
Median Absolute Deviation (MAD)1.37
Skewness9.9580976
Sum19419.43
Variance7.814529
MonotonicityNot monotonic
2023-03-14T14:38:55.436219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.5%
5.9 71
 
1.7%
5.7 69
 
1.7%
5.8 65
 
1.6%
5.3 53
 
1.3%
5.6 52
 
1.3%
5.5 52
 
1.3%
7 49
 
1.2%
5 48
 
1.2%
5.4 48
 
1.2%
Other values (374) 1911
47.1%
(Missing) 1499
36.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
15.2 2
< 0.1%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8542231
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:55.723476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35777779
Coefficient of variation (CV)0.41883413
Kurtosis2.0043612
Mean0.8542231
Median Absolute Deviation (MAD)0
Skewness-1.8947918
Sum3469
Variance0.12800494
MonotonicityNot monotonic
2023-03-14T14:38:55.974129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.1%
0 599
 
14.8%
2 7
 
0.2%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.1%
2 7
 
0.2%
ValueCountFrequency (%)
2 7
 
0.2%
1 3455
85.1%
0 599
 
14.8%

Heart_Rate
Real number (ℝ)

Distinct141
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.175838
Minimum0
Maximum222
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:56.354439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range222
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.072334
Coefficient of variation (CV)0.24739802
Kurtosis3.2730226
Mean85.175838
Median Absolute Deviation (MAD)12
Skewness1.0148345
Sum345899.08
Variance444.04326
MonotonicityNot monotonic
2023-03-14T14:38:56.739963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 298
 
7.3%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.3%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (131) 2533
62.4%
ValueCountFrequency (%)
0 5
0.1%
8 1
 
< 0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct200
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.589815
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:57.071327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.256655
Coefficient of variation (CV)0.17682844
Kurtosis2.428763
Mean97.589815
Median Absolute Deviation (MAD)10
Skewness-0.35373688
Sum396312.24
Variance297.79213
MonotonicityNot monotonic
2023-03-14T14:38:57.353929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 171
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 145
 
3.6%
105 132
 
3.3%
80 127
 
3.1%
88 123
 
3.0%
95 123
 
3.0%
102 111
 
2.7%
Other values (190) 2595
63.9%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct590
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3889978
Minimum0.33
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:57.671527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.6
Q16
median8.09
Q38.76
95-th percentile14
Maximum235
Range234.67
Interquartile range (IQR)2.76

Descriptive statistics

Standard deviation7.5480748
Coefficient of variation (CV)0.89975883
Kurtosis482.73916
Mean8.3889978
Median Absolute Deviation (MAD)1.43
Skewness19.274467
Sum34067.72
Variance56.973433
MonotonicityNot monotonic
2023-03-14T14:38:58.375599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 79
 
1.9%
5.2 76
 
1.9%
5.6 68
 
1.7%
5 68
 
1.7%
8 55
 
1.4%
4.8 55
 
1.4%
6.2 53
 
1.3%
5.8 53
 
1.3%
5.4 53
 
1.3%
5.5 52
 
1.3%
Other values (580) 3449
84.9%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1.01 1
< 0.1%
ValueCountFrequency (%)
235 1
< 0.1%
230 1
< 0.1%
156 1
< 0.1%
141 1
< 0.1%
135 1
< 0.1%
107 1
< 0.1%
100 1
< 0.1%
99 1
< 0.1%
87 1
< 0.1%
81 1
< 0.1%
Distinct555
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9355282
Minimum0.07
Maximum489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:38:58.843284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.9
Q13.9
median4.78
Q35.42
95-th percentile6.9
Maximum489
Range488.93
Interquartile range (IQR)1.52

Descriptive statistics

Standard deviation9.0576268
Coefficient of variation (CV)1.8351889
Kurtosis2318.3699
Mean4.9355282
Median Absolute Deviation (MAD)0.79
Skewness46.8463
Sum20043.18
Variance82.040603
MonotonicityNot monotonic
2023-03-14T14:38:59.885153image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.9 89
 
2.2%
4.3 82
 
2.0%
4.5 80
 
2.0%
5.2 74
 
1.8%
4.2 73
 
1.8%
4.6 73
 
1.8%
5.6 70
 
1.7%
4.1 67
 
1.6%
4 66
 
1.6%
4.8 66
 
1.6%
Other values (545) 3321
81.8%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
489 1
< 0.1%
308 1
< 0.1%
15.7 1
< 0.1%
13.74 1
< 0.1%
11.8 2
< 0.1%
11.36 1
< 0.1%
11.29 1
< 0.1%
10.97 1
< 0.1%
10.12 1
< 0.1%
10 1
< 0.1%
Distinct432
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6717385
Minimum0.01
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:39:00.668251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.44
Q31.95
95-th percentile3.5
Maximum71
Range70.99
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation1.5527318
Coefficient of variation (CV)0.92881261
Kurtosis987.06645
Mean1.6717385
Median Absolute Deviation (MAD)0.46
Skewness23.393448
Sum6788.93
Variance2.410976
MonotonicityNot monotonic
2023-03-14T14:39:01.445054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 109
 
2.7%
1.2 108
 
2.7%
1.1 107
 
2.6%
1.5 104
 
2.6%
1.3 103
 
2.5%
0.8 99
 
2.4%
1.6 98
 
2.4%
0.9 98
 
2.4%
1.4 96
 
2.4%
1.8 88
 
2.2%
Other values (422) 3051
75.1%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
71 1
< 0.1%
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%
9 1
< 0.1%

BMI
Real number (ℝ)

Distinct1210
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.00786
Minimum13.34
Maximum342.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:39:02.230242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.96
median27.83
Q331.55
95-th percentile39.51
Maximum342.78
Range329.44
Interquartile range (IQR)6.59

Descriptive statistics

Standard deviation8.8469888
Coefficient of variation (CV)0.30498592
Kurtosis514.53438
Mean29.00786
Median Absolute Deviation (MAD)3.26
Skewness17.023635
Sum117800.92
Variance78.269211
MonotonicityNot monotonic
2023-03-14T14:39:02.811212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
31.25 27
 
0.7%
27.34 27
 
0.7%
25.95 26
 
0.6%
28.73 25
 
0.6%
31.22 25
 
0.6%
Other values (1200) 3759
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
342.78 1
< 0.1%
233.4 1
< 0.1%
221.14 1
< 0.1%
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3475
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.195627
Minimum0.29
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T14:39:03.168759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile25
Q157.43
median83.17
Q3110.59
95-th percentile166.48
Maximum1164.7
Range1164.41
Interquartile range (IQR)53.16

Descriptive statistics

Standard deviation52.926902
Coefficient of variation (CV)0.60010801
Kurtosis101.94027
Mean88.195627
Median Absolute Deviation (MAD)26.65
Skewness6.1233992
Sum358162.44
Variance2801.2569
MonotonicityNot monotonic
2023-03-14T14:39:03.545152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.2 6
 
0.1%
83.2 6
 
0.1%
86.1 6
 
0.1%
76.16 4
 
0.1%
76.26 4
 
0.1%
67.65 4
 
0.1%
97.17 4
 
0.1%
79.9 4
 
0.1%
110.7 4
 
0.1%
59.41 3
 
0.1%
Other values (3465) 4016
98.9%
ValueCountFrequency (%)
0.29 1
< 0.1%
0.52 1
< 0.1%
0.55 1
< 0.1%
0.58 1
< 0.1%
0.67 1
< 0.1%
0.78 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
0.99 1
< 0.1%
1 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-14T14:38:35.255323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:51.086576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:56.841904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:02.329216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:06.812797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:11.309661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:15.767437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:20.463521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:25.083047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:30.245260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:35.296939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:40.217936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:45.317650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:50.187787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:54.644382image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:59.681114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:03.880599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:08.225152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:12.221792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:16.669507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:20.865971image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:25.162463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:30.192744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:35.457714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:51.418695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:57.044692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:02.508487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:06.991488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:11.495836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-14T14:38:03.050978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:07.300920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:11.359478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:15.632509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:19.928379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:24.265070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:29.037918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:34.193558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:39.940183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:56.064093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:01.582349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:06.006477image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:10.524706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:15.038558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:19.660017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:24.319920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:29.210731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:34.418561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:39.317471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:44.526332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:49.386532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:53.893899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:58.734307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:03.203573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:07.485206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:11.507731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:15.806471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:20.105358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:24.433619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:29.226057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:34.398365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:40.367825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:56.259428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:01.787682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:06.202540image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:10.718983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:15.224249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:19.857605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:24.507890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:29.438904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:34.637612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:39.514084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:44.707936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:49.567826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:54.080118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:58.937476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:03.362589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:07.640820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:11.739156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:15.978313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:20.268370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:24.580682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:29.433357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:34.620209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:40.879759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:56.459500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:01.970620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:06.430606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:10.910571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:15.420319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:20.078593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:24.681671image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:29.674678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:34.848067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:39.731988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:44.948070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:49.794023image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:54.282089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:59.180696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:03.514517image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:07.830121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:11.910579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:16.164068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:20.464113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:24.765735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:29.677231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:34.848789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:41.187001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:36:56.659084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:02.155072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:06.616303image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:11.111190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:15.588459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:20.274023image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:24.885501image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:30.016465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:35.084774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:39.937876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:45.158987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:49.988425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:54.455112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:37:59.409200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:03.713584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:08.037175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:12.056978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:16.478542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:20.654854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:24.970551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:29.923967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T14:38:35.054567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-14T14:39:03.955999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.158-0.0070.3780.012-0.010-0.208-0.122-0.1630.090-0.091-0.1600.047-0.146-0.1270.066-0.129-0.036-0.100-0.0000.001-0.1720.104
Age-0.1581.000-0.034-0.540-0.0060.0900.2560.1170.121-0.2970.3000.1340.0010.2580.029-0.0810.040-0.0980.068-0.166-0.227-0.151-0.632
Education-0.007-0.0341.0000.053-0.0060.018-0.006-0.036-0.0020.006-0.007-0.006-0.027-0.018-0.0130.0080.0080.004-0.0190.021-0.0160.0300.032
Work0.378-0.5400.0531.0000.010-0.055-0.235-0.114-0.1610.208-0.208-0.1740.026-0.178-0.1050.062-0.0610.021-0.1100.1190.1410.0530.399
Cardiac_Arrest_Admission0.012-0.006-0.0060.0101.0000.1180.008-0.0170.012-0.0090.007-0.0110.025-0.020-0.006-0.0180.054-0.0250.0410.008-0.004-0.009-0.032
Non_Cardiac_Condition-0.0100.0900.018-0.0550.1181.0000.0680.0250.052-0.0530.0550.035-0.0020.040-0.008-0.0170.114-0.0210.027-0.047-0.031-0.021-0.166
Hypertension-0.2080.256-0.006-0.2350.0080.0681.0000.3980.338-0.1120.1120.325-0.0380.1500.196-0.0010.0990.0870.139-0.1260.0010.108-0.224
Dyslipidemia-0.1220.117-0.036-0.114-0.0170.0250.3981.0000.331-0.0620.0670.320-0.0660.1140.2210.0220.0220.0830.104-0.0690.0830.097-0.094
DM-0.1630.121-0.002-0.1610.0120.0520.3380.3311.000-0.0200.0240.983-0.0260.1070.670-0.0160.1150.1110.426-0.1130.1020.136-0.099
Year_DM_Diagnosed0.090-0.2970.0060.208-0.009-0.053-0.112-0.062-0.0201.000-0.9950.070-0.053-0.072-0.0920.097-0.063-0.043-0.0120.1700.087-0.1130.215
DM_Duration-0.0910.300-0.007-0.2080.0070.0550.1120.0670.024-0.9951.000-0.0680.0440.0750.084-0.0970.0590.0450.012-0.172-0.0880.108-0.218
DM_Type-0.1600.134-0.006-0.174-0.0110.0350.3250.3200.9830.070-0.0681.000-0.0220.1000.667-0.0250.1090.1100.425-0.1170.0960.133-0.107
DM_Treatment0.0470.001-0.0270.0260.025-0.002-0.038-0.066-0.026-0.0530.044-0.0221.000-0.025-0.081-0.013-0.003-0.104-0.016-0.0120.000-0.0270.010
Smoking_History-0.1460.258-0.018-0.178-0.0200.0400.1500.1140.107-0.0720.0750.100-0.0251.0000.0770.0020.023-0.0320.054-0.081-0.0880.001-0.196
HbA1C_Admission_Value-0.1270.029-0.013-0.105-0.006-0.0080.1960.2210.670-0.0920.0840.667-0.0810.0771.000-0.0030.1120.1050.548-0.0040.1820.1420.007
Lipid_24_Collected0.066-0.0810.0080.062-0.018-0.017-0.0010.022-0.0160.097-0.097-0.025-0.0130.002-0.0031.000-0.0420.036-0.0560.002-0.041-0.0190.056
Heart_Rate-0.1290.0400.008-0.0610.0540.1140.0990.0220.115-0.0630.0590.109-0.0030.0230.112-0.0421.000-0.0080.1650.021-0.0040.049-0.063
Waist-0.036-0.0980.0040.021-0.025-0.0210.0870.0830.111-0.0430.0450.110-0.104-0.0320.1050.036-0.0081.0000.082-0.0050.1320.5080.261
Fasting_Blood_Glucose_Value_SI_Units-0.1000.068-0.019-0.1100.0410.0270.1390.1040.426-0.0120.0120.425-0.0160.0540.548-0.0560.1650.0821.0000.0200.1160.072-0.082
Cholesterol_Value_SI_Units-0.000-0.1660.0210.1190.008-0.047-0.126-0.069-0.1130.170-0.172-0.117-0.012-0.081-0.0040.0020.021-0.0050.0201.0000.3860.0360.141
Triglycerides_Value_SI_Units0.001-0.227-0.0160.141-0.004-0.0310.0010.0830.1020.087-0.0880.0960.000-0.0880.182-0.041-0.0040.1320.1160.3861.0000.1510.180
BMI-0.172-0.1510.0300.053-0.009-0.0210.1080.0970.136-0.1130.1080.133-0.0270.0010.142-0.0190.0490.5080.0720.0360.1511.0000.384
Creatinine_Clearance0.104-0.6320.0320.399-0.032-0.166-0.224-0.094-0.0990.215-0.218-0.1070.010-0.1960.0070.056-0.0630.261-0.0820.1410.1800.3841.000

Missing values

2023-03-14T14:38:41.710111image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-14T14:38:42.439726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-03-14T14:38:42.863035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
01621100222NaNNaN074NaN285.1897.598.394.941.6729.0188.20
115211001112003.010.0234NaN285.1897.598.394.941.6729.0188.20
20730000110NaNNaN070NaN175.0060.007.005.381.8520.0024.12
31466332222NaNNaN074NaN285.1897.598.394.941.6729.0188.20
40466332222NaNNaN074NaN285.1897.598.394.941.6729.0188.20
506440001112002.010.0251NaN1117.0085.0011.935.402.2433.2963.60
605600000111988.024.02917.1082.0085.004.404.701.3031.22114.24
70780000100NaNNaN0715.6090.0090.006.204.111.1119.5627.55
81542000100NaNNaN0715.6175.0091.004.005.202.2023.0592.37
90542000000NaNNaN071NaN090.0093.008.484.921.6423.8173.42
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
405117400001111987.025.02118.3188.096.7910.805.141.1028.4156.50
40521764100100NaNNaN070NaN0140.070.009.094.931.2925.7134.66
405316152011111993.020.02817.4187.090.004.205.102.5029.7650.65
405405620001012004.08.02318.1062.0115.007.207.442.3233.12109.82
405514101001112006.07.0282NaN1106.079.008.485.901.9027.9788.77
405617520001112001.011.02518.8198.092.007.504.672.2223.5145.28
405715600200111996.015.028011.61120.093.007.906.661.5329.3983.77
405815540000012006.07.028011.61109.072.009.203.950.8022.8489.61
40591772000100NaNNaN071NaN1100.085.008.746.710.6522.0431.00
406017320001111987.025.0290NaN1100.0117.008.854.101.7729.0167.36